
#   --------------------------------注释区--------------------------------
#   入口:福田e家
#   一天100积分 内置乐子发帖接口
#   记得安装python依赖 pycryptodome
#   需抓取数据: 
#   * 变量: huaji_futian  备注#账号#密码
#   * 变量: Huaji_futian_isRunFt  是否发帖 默认是开启 填1开启填0关闭 
#   多号分割方式 [ 换行 或 新建同名变量 或 & 分割 ]
#   corn: 一天一次即可
#   Powered by Huaji [3487934983] && QQ Group [901898186]
#   --------------------------------祈求区--------------------------------
#                     _ooOoo_
#                    o8888888o
#                    88" . "88
#                    (| -_- |)
#                     O\ = /O
#                 ____/`---'\____
#               .   ' \\| |// `.
#                / \\||| : |||// \
#              / _||||| -:- |||||- \
#                | | \\\ - /// | |
#              | \_| ''\---/'' | |
#               \ .-\__ `-` ___/-. /
#            ___`. .' /--.--\ `. . __
#         ."" '< `.___\_<|>_/___.' >'"".
#        | | : `- \`.;`\ _ /`;.`/ - ` : | |
#          \ \ `-. \_ __\ /__ _/ .-` / /
#  ======`-.____`-.___\_____/___.-`____.-'======
#                     `=---='
# 
#  .............................................
#           佛祖保佑             永无BUG
#           佛祖镇楼             BUG辟邪
#   --------------------------------代码区--------------------------------

'''
Create at [2025-05-08 16:39:41]
'''
import requests
import os
import sys
import platform
import subprocess
import importlib
import datetime
from urllib.parse import urlparse
import logging
import socket
logging.basicConfig(level=logging.INFO, format='[%(levelname)s] ===> %(message)s')
log = logging.getLogger(__name__)

THIS_Proxies = 'https://github.huaji.asia/'   # 网络不行就填Github代理 这里只给出一个要是不行就自己找 https://github.huaji.asia/

data = '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'
func = 'main'

GithubUrl = f"{THIS_Proxies.rstrip('/')}/https://raw.githubusercontent.com/huaji8/So_common/master/so" if THIS_Proxies else 'https://raw.githubusercontent.com/huaji8/So_common/master/so'
THIS_MODE = 'Huaji_SoLoader'
So_name = f'{THIS_MODE}.so'




def get_system_info() -> None:
    global Download_name
    python_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
    download_pyver = f'{sys.version_info.major}.{sys.version_info.minor}'
    processor_arch = platform.machine().replace('AMD64', 'x86_64').replace('x64', 'x86_64')
    system_name = platform.system()
    system_ver = platform.release() + " " + platform.version()
    system_arch = platform.architecture()[0]
    if system_name == "Darwin":
        system_name = "macOS"
        system_ver = platform.mac_ver()[0]
    elif system_name == "Windows":
        system_ver = f"{platform.release()} (Build {platform.win32_ver()[1]})"
    
    log.info(f"系统信息 [Python/{python_version}] [系统架构 {processor_arch}] [{system_name}/{system_ver} {system_arch}]")
    if download_pyver not in ['3.10','3.11','3.12']:
        log.error(f'当前Python版本不支持运行此脚本，请使用Python3.10或3.11或3.12运行此脚本,什么??你不重装,简单,删除本脚本然后睡觉觉就行了..')
        
    if processor_arch == 'x86_64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
    elif processor_arch == 'aarch64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_aarch64.so'
    else:
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
        
    if processor_arch not in ['x86_64', 'aarch64']:
        log.warning(f'当前系统架构大概率不支持运行此脚本...')
        return
    elif 'Linux' not in system_name:
        log.error(f'当前系统不支持运行此脚本，请使用Linux运行此脚本')
    else:
        log.info('系统检测通过,开始运行脚本')
        return
    
    
    
    exit()



def download_file(save_path: str = None) -> bool:
    url =  GithubUrl + '/' + Download_name
    
    try:
        try:
            socket.create_connection(("www.github.com", 80), timeout=5)
            socket.create_connection(("www.github.com", 443), timeout=5)
        except (socket.timeout, socket.gaierror):
            log.warning("无法连接到Github,大概率下载是失败的,请检查网络或使用代理")

        if not save_path:
            file_name = os.path.basename(urlparse(url).path) or "downloaded_file"
            save_path = os.path.join(os.getcwd(), file_name)
        if os.path.exists(save_path) and os.path.getsize(save_path) == 0:
            os.remove(save_path)
        save_dir = os.path.dirname(save_path)
        os.makedirs(save_dir, exist_ok=True)
        curl_cmd = "curl.exe" if platform.system() == "Windows" else "curl"
        cmd = [
            curl_cmd,
            "-L", 
            "-f",
            "--silent",
            "--show-error",
            "-o", save_path,
            "-m","180",
            url
        ]

        result = subprocess.run(
            cmd,
            check=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True
        )


        if not os.path.exists(save_path):
            log.error(f"下载文件不存在: {save_path}")
            return False
        if os.path.getsize(save_path) == 0:
            os.remove(save_path)
            log.error(f"下载文件为空: {save_path}")
            return False
        if result.returncode != 0:
            log.error(f"下载失败: {result.stderr.strip()}")
            return False
        log.info(f"文件下载成功: {save_path}")
        os.rename(Download_name, So_name)
        return True

    except subprocess.CalledProcessError as e:
        error_msg = f"下载失败: {e.stderr.strip()}" if e.stderr else "未知curl错误"
        log.error(error_msg)
        return False
    except Exception as e:
        log.error(f"下载异常: {str(e)}")
        return False
    
def dynamic_import(module_name: str) -> object:
    return importlib.import_module(module_name)

    
def Run() -> None:
    if os.path.exists(So_name):
        log.info('so文件存在,开始运行')
        print('='*30)
        obj = dynamic_import(THIS_MODE)
        obj.run(func, data)
    else:
        log.info('so文件不存在,开始下载')
        if download_file():
            Run()
        else:
            log.error('下载失败,请检查网络或使用代理')


if __name__ == '__main__':
    get_system_info()
    Run()
